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Description 0
This Bundle Includes Three Subjects (Videos + Notes ):
DSIP (Digital Signal and Image Processing): Includes Sums and Theoretical Concept Both
AISC (Artificial Intelligence and Soft Computing): Includes Sums and Theoretical Concept Both
MCC (Mobile Communication and Computing): Includes Theoretical Concept
What we Provide : 1) Video Lectures in Hindi ( taking the complicated concept to very Basic Level )
2) Topper Solution Notes ( The Best Paper solution in the Market )
3) How to Pass strategy (The Best course in Mumbai university which provides and video lectures and notes all at one place according to your syllabus )
Course Validity: Current Semester if Exams get postponed your validity will Extend too so not to worry about it.No items in this section -
Digital Signal and Image Processing 41
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How to Pass DSIP Importance + Strategy 17 minLecture2.1
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Introduction to Digital Signal Processing 10 minLecture2.2
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Determine signal is periodic or aperiodic 12 minLecture2.3
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Determine signal is linear or non-linear 06 minLecture2.4
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Determine Signal is Time varient or Invarient 06 minLecture2.5
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Determine Signal is Static or Dynamic 05 minLecture2.6
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Determine Signal is Causal or Non Causal 03 minLecture2.7
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Determine Signal is Stable and unstable 05 minLecture2.8
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Find Linear Convolution Part #1 14 minLecture2.9
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Find Linear Convolution Part #2 16 minLecture2.10
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Circular Convolution 09 minLecture2.11
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Cross Correlation and Auto Correlation 16 minLecture2.12
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Energy and Power Signal 22 minLecture2.13
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Types of Signals 09 minLecture2.14
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Stability Sum (find the range of linear time invariant signal for which impulse response is stable) 16 minLecture2.15
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Output response (0.3 delta wala sum ) 05 minLecture2.16
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Introduction to DFT 13 minLecture2.17
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DFT(Discrete fourier transform) properties 12 minLecture2.18
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Sum based on DFT properties 04 minLecture2.19
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DFT Matrix Method 06 minLecture2.20
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8 point matrix method 10 minLecture2.21
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DIT-FFT(Decimation in time fast fourier transform) 16 minLecture2.22
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Doubt solving ( 1 video me saare doubt clear ) 30 minLecture2.23
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Introduction to Image Processing 10 minLecture2.24
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Image File Format 10 minLecture2.25
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Bitmap Image File Format 11 minLecture2.26
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JPEG Image File Format 07 minLecture2.27
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Tagged Image File Format (TIFF) 06 minLecture2.28
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Gray Level Transformation 17 minLecture2.29
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Zero memory Point Operation 18 minLecture2.30
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Histogram Equalization 06 minLecture2.31
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Region Growing in Image Segmentation 09 minLecture2.32
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Region Splitting in Image Segmentation 05 minLecture2.33
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Region Merging in Image Segmentation 11 minLecture2.34
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Convolution , Mask and Filtering 17 minLecture2.35
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Edge Detection 08 minLecture2.36
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Prewitt and Sobel Mask 08 minLecture2.37
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Robinson and Kirsch Mask 05 minLecture2.38
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Laplacian Filter 07 minLecture2.39
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Connectivity ( 4 , 8 and M connectivity ) 15 minLecture2.40
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Discontinuities in Image Segmentation 09 minLecture2.41
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Artificial Intelligence and Soft Computing 39
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How to Pass AISC 18 minLecture3.1
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Agent and Peas Description 07 minLecture3.2
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Types of Agent 08 minLecture3.3
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Learning Agent 08 minLecture3.4
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Learning and Types of Learning 06 minLecture3.5
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Soft computing vs Hard computing and Supervised learning vs Unsupervised Learning 10 minLecture3.6
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BFS ( Breadth First Search ) Algorithm with solved Example 05 minLecture3.7
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DFS ( Depth First Search ) Algorithm with solved Example 03 minLecture3.8
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IDFS ( Iterative Depth First Search ) Algorithm with solved Example 03 minLecture3.9
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GBFS Solved Example 07 minLecture3.10
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A Star solved Example 13 minLecture3.11
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Hill Climbing 04 minLecture3.12
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Min Max Solved Example 06 minLecture3.13
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Alpha-Beta Pruning Solved Example 13 minLecture3.14
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Genetic Algorithm 05 minLecture3.15
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Genetic Algorithm Max one Problem Solved Example 08 minLecture3.16
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Propositional Logic (PL) Introduction 07 minLecture3.17
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PL to CNF conversion With Solved Example 09 minLecture3.18
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First-Order Logic (FOL) Solved Example 05 minLecture3.19
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Resolution Tree Sum Part #1 08 minLecture3.20
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Resolution Tree Sum Part #2 14 minLecture3.21
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Partial Order Planning with Example 11 minLecture3.22
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Introduction to Fuzzy Logic 04 minLecture3.23
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Fuzzification and De-Fuzzification 06 minLecture3.24
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Properties and Operation of Crisp and Fuzzy Sets 05 minLecture3.25
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Crisp and Fuzzy Sets and Relations 11 minLecture3.26
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Fuzzy Membership Function 08 minLecture3.27
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Mamdani Fuzzy Model (Fuzzy Controller) with Solved Example 33 minLecture3.28
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Introduction to ANN and structure of ANN 06 minLecture3.29
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Mc-Culloch-Pitts Neural Model 03 minLecture3.30
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Neural Network Architecture 05 minLecture3.31
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Perceptron Learning (with solved example) 11 minLecture3.32
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Activation functions in ANN (Discrete and Continuous) 04 minLecture3.33
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Backpropagation Network (with solved example) 19 minLecture3.34
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Self Organizing Maps and KSOMs 10 minLecture3.35
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Introduction to Hybrid System 04 minLecture3.36
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Neuro-Fuzzy System (Co-Operative and General NFS) 08 minLecture3.37
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Fuzzy Inference System 07 minLecture3.38
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Expert System 10 minLecture3.39
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Mobile Communication and Computing 36
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Introduction to Mobile Computing 06 minLecture4.1
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GPRS Architecture 09 minLecture4.2
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GSM architecture 20 minLecture4.3
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Multiplexing 08 minLecture4.4
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GEO MEO LEO Types of satellite Orbit 03 minLecture4.5
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Handover and Types of Handover 06 minLecture4.6
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Privacy and Authentication in GSM 08 minLecture4.7
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Types of Handoffs and Handover 06 minLecture4.8
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Mobile IP and Packet through tunnel working 05 minLecture4.9
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3G UMTS architecture 05 minLecture4.10
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Wireless local loop 06 minLecture4.11
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PSTN Architecture 05 minLecture4.12
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Cellular IP Standard 06 minLecture4.13
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Bluetooth architecture 06 minLecture4.14
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Android architecture 16 minLecture4.15
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4G architecture 18 minLecture4.16
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Frequency reuse concept in cellular system 09 minLecture4.17
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Macro Mobility- MIPv6 and FMIPv6 08 minLecture4.18
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Micro Mobility- HAWAII Architecture 07 minLecture4.19
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Micro Mobility- HMIPv6 Hierarchical MIPv6 06 minLecture4.20
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IP Address vs MAC Address 09 minLecture4.21
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IPv4 Header Format 13 minLecture4.22
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IPv6 11 minLecture4.23
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IPv4 vs IPv6 10 minLecture4.24
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SAE/LTE Architecture Part #1 12 minLecture4.25
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SAE/LTE Architecture Part #2 07 minLecture4.26
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VoLTE 09 minLecture4.27
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Self-Organizing Networks (SON) Framework 08 minLecture4.28
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IEEE 802.11 Architecture 09 minLecture4.29
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IEEE 802.11 Protocol Architecture 11 minLecture4.30
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Wifi Security – Wired Equivalent Privacy (WEP) 09 minLecture4.31
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Wireless LAN Threats and Security 09 minLecture4.32
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WiFi Protected Access 06 minLecture4.33
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5G Introduction 08 minLecture4.34
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HiperLAN Type 1 08 minLecture4.35
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MCC Importance 13 minLecture4.36
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Notes of All Subjects 5
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Artificial Intelligence and Soft Computing Complete Notes ( Toppers Solution )Lecture5.1
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Mobile Communication and Computing Notes ( Toppers Solution )Lecture5.2
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Digital Signal Processing Handmade NotesLecture5.3
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DSP University Paper SolutionLecture5.4
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Digital Signal and Image Processing NotesLecture5.5
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Mobile IP and Packet through tunnel working
Mobile IP and Packet through tunnel working
Mobile IP (or MIP) is an Internet Engineering Task Force (IETF) standard communications protocol that is designed to allow mobile device users to move from one network to another while maintaining a permanent IP address.
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