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Course Objectives:
To develop and implement DSP algorithms in software using a computer language such as MATLAB.
To analyze and Observe the Magnitude and phase characteristics of different signals.
To analyze and observe Magnitude and phase characteristics (Frequency response Characteristics) of digital FIR filters using window echniques.
Course Outcomes:
CO1 :Able to compute the system output using convolution method with MATLAB Software package.
CO2: Able to verify the system characteristics.
CO3:Able to Calculate DFT, FFT, IDFT using MATLAB.
CO4:Able to analyze Magnitude and phase characteristics (Frequency response Characteristics) of digital IIR Butterworth.
CO5: Able to Develop and Implement DSP algorithms in software using a Computer language such as C with TMS320C6713 floating-point Processor.
List of Experiments (As per Autonomy syllabus):
Convolution of two sequence methods and using commands- verification of the properties of convolution.
Systems (Causal and Non_causal, Time-invariant and Time-variant etc.) verification using MATLAB.
Z-transform of various sequences – verification of the properties of Z-transform.
DFT using twiddle factors.
DFTs / IDFTs using matrix multiplication and also using commands.
6. Circular convolution of two sequences using graphical methods and using commands, differentiation between linear and circular convolutions.
7. Verifications of the different algorithms associated with filtering of long data sequences and Overlap –add and Overlap-save methods.
8. Butterworth filter design with a different set of parameters.
9. FIR filter design using rectangular, Hamming and Blackman windows.
10. Frequency responses of anti-imaging and anti-aliasing filters.
11.Develop and Implement DSP algorithms in software using a computer language such as C with TMS320C6713 floating-point Processor, TMS 5416 kit and ASM along with C.
Experiment Beyond Syllabus:
1. Multirate Signal Processing.
2. Application of Wavelet transform.
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