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DSP#1 Introduction to Digital Signal Processing || EC Academy
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DSP#2 Frequency domain sampling and reconstruction of discrete time signals || EC Academy
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DSP#3 Discrete Fourier Transform (DFT) and Inverse Discrete Fourier Transform (IDFT) || EC Academy
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DSP#4 Problems on Discrete Fourier Transform (DFT) || EC Academy
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DSP#5 Problem to find DFT, Magnitude and phase spectrum || EC Academy
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DSP#6 Problem on Inverse Discrete Fourier Transform (IDFT) || EC Academy
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DSP#7 Discrete Fourier transform as linear function ( matrix form) || EC
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DSP#8 problem to find 4 point DFT using matrix method or Linear Transformation method || EC Academy
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DSP#9 problem to find 6 point DFT using matrix method or Linear Transformation method || EC Academy
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DSP#10 problem to find 8 point DFT using matrix method or Linear Transformation method || EC Academy
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DSP#11 Find DFT using scientific calculator (only for verification) || EC Academy
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DSP#12 Problem to find Inverse Discrete Fourier transform (IDFT) using matrix method || EC Academy
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DSP#13 Linearity property of DFT in Digital Signal Processing || EC Academy
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DSP#14 Periodicity property of DFT || EC Academy
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DSP#15 Circular Time shift propert of DFT || EC Academy
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DSP#16 concept of circular Time shift in DFT || EC Academy
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DSP#17 Circular frequency shift property of DFT || EC Academy
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DSP#18 Time reversal property of DFT in Digital Signal Processing || EC Academy
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DSP#19 Concept of Time reversal in DFT || EC Academy
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DSP#20 Circular convolution property of DFT in Digital Signal Processing || EC Academy
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DSP#21 Multiplication or Modulation property of DFT in Digital Signal Processing || EC Academy
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DSP#22 Parseval's theorem in digital signal || EC Academy
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DSP#23 Circular correlation property of DFT in Digital Signal Processing || EC Academy
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DSP#24 Symmetry property of dft in Digital Signal Processing || EC Academy
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DSP#25 Duality property of DFT in Digital Signal Processing || EC Academy
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DSP#26 Circular symmetry property of DFT in digital imageprocessing || EC Academy
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DSP#27 problem to find DFT using circular symmetry property || EC Academy
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DSP#28 Problem on circular time shift and circular symmetry properties of dft || EC Academy
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DSP#29 Problem on symmetry property of dft in Digital signal processing || EC Academy
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DSP#30 Problem on symmetry property of dft in digital signal processing || EC Academy
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DSP#31 Problem on circular convolution using stockhams method, matrix method and Tab method
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DSP#32 Linear convolution in digital signal processing || EC Academy
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DSP#33 Problem on circular convolution using dft & idft in digital signal processing || EC Academy
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DSP#34 linear filtering method using dft and circular convolution || EC Academy
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DSP#35 Problem on linear convolution and circular convolution in dsp || EC Academy
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DSP#36 Overlap Save method for linear filtering of long duration sequence in dsp || EC Academy
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DSP#37 Problem on Overlap save method in digital signal processing || EC Academy
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DSP#38 Overlap Add method for linear filtering of long duration sequence in dsp || EC Academy
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DSP#39 Problem on Overlap Add method in digital signal processing || EC Academy
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DSP#40 Radix 2 dit fft algorithm (Part-1) || EC Academy
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DSP#41 Radix 2 dit fft algorithm (Part-2) || EC Academy
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DSP#42 Computational efficiency of FFT over DFT in digital signal processing || EC Academy
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DSP#43 problem on 4 point DFT using DIT FFT in digital signal processing || EC Academy
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DSP#44 problem on 8 point DFT using DIT FFT in digital signal processing || EC Academy
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DSP#45 Radix 2 DIF FFT algorithm in digital signalprocessing || EC Academy
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DSP#46 problem on 4 point DFT using DIF FFT in digital signal processing || EC Academy
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DSP#47 problem on 8 point DFT using DIF FFT in digital signal processing || EC Academy
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DSP#48 IDFT using FFT in digital signal processing || EC Academy
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DSP#49 problem on 4 point IDFT using DIT FFT in digital signal processing || EC Academy
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DSP#50 problem on 4 point IDFT using DIF FFT in digital signal processing || EC Academy
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DSP#51 problem on 8 point IDFT using DIT FFT in digital signal processing || EC Academy
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DSP#52 problem on 8 point IDFT using DIF FFT in digital signal processing || EC Academy
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DSP#53 introduction to FIR filter in digital signal processing || EC Academy
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DSP#54 Impulse response of linear phase FIR filters in digital signal processing || EC Academy
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DSP#55 Frequency response of linear phase FIR filter in digital signal processing || EC Academy
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DSP#56 Different types of windows to design linear phase FIR filter in dsp || EC Academy
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DSP#57 Procedure to design linear phase FIR filter using windows in dsp || EC Aca6
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DSP#58 Problem on FIR filter using Rectangular window || EC Academy
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DSP#59 Problem on FIR filter using Hanning window || EC Academy
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DSP#60 Problem on FIR filter using hamming window || Ec Academy
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DSP#61 Problem on FIR filter using Kaiser window || EC Academy
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DSP#62 Design of linear phase FIR filter using frequency sampling method || EC Academy
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DSP#63 Problem on FIR filter using Frequency sampling approach || EC Academy
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DSP#64 Direct form representation of filter in digital signal processing || EC Academy
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DSP#65 Cascade form structure representation of digital filters || EC Academy
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DSP#66 LATTICE form representation of digital filters || EC Academy
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DSP#67 Digital signal processor Architecture || EC Academy
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DSP#68 Digital Signal Processor Hardware Unit || EC Academy
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DSP#69 Fixed point format in Digital Signal Processor || EC Academy
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DSP#70 Floating point format in digital signal processor || EC Academy
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DSP#71 IEEE floating point format in digital signal processor || EC Academy
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DSP#72 Fixed point Digital signal processor || EC Academy
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DSP#73 Floating point Digital Signal Processor || EC Academy
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DSP#74 Introduction to infinite impulse response (IIR) Filter || EC Academy
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DSP#75 Bilinear Transformation design method for IIR filter design || EC Academy
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DSP#76 Analog filters using Lowpass prototype Transformation || EC Academy
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DSP#77 Problem on Analog filters using Lowpass prototype Transformation || EC Academy
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DSP#78 bilinear transformation and frequency warping in IIR filters || EC Academy
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DSP#79 problem on bilinear transformation in IIR filters || EC Academy
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DSP#80 Bilinear Transformation design procesure in digital signal processing || EC Academy
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DSP#82 Butterworth low pass filter problem in digital signal processing || EC Academy
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DSP#83 Problem on bandpass Butterworth filter design in digital signal processing || EC Academy
Description:
Explore a comprehensive 12-hour course on digital signal processing, covering fundamental concepts and advanced techniques. Begin with an introduction to DSP and progress through frequency domain sampling, discrete Fourier transforms, and their properties. Master DFT computation methods, including matrix and FFT algorithms. Dive into circular and linear convolution, overlap methods, and FIR filter design using various windows. Examine digital filter representations, DSP architecture, and hardware units. Study fixed-point and floating-point formats in digital signal processors. Conclude with an in-depth look at IIR filter design, including bilinear transformation and Butterworth filter problems. Gain practical problem-solving skills through numerous examples and applications throughout the course.

Digital Signal Processing

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#Engineering #Electrical Engineering #Signal Processing #Digital Signal Processing #Discrete Fourier Transforms
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DSP#1 Introduction to Digital Signal Processing || EC Academy