FIR filter Harvard Case Solution & Analysis

FIR filter Case Study Analysis

IMPLEMENTATION:

MATLAB converted the input sinusoidal signals and coefficients in to hexadecimal by digitization. The output by digitization are then proceeded to obtain desire output by using some mathematical operations like addition and multiplication. This procedure is done by the built in software of Xilinx. There are five steps to analyze the performance. The very first step is to determine the desire response the second step is to choose the class of filter, third step is to create a standard for the response of filter the fourth step is to use a proper structure and make the synthesize filter and the last step is to analyze the performance of the filter.

As per the design implementation of 161 demanded order for the implementation of band pass filter is necessary. Implementation of such an advanced request using modest DA design needs ROM capacity of 2161 which is identicallyhuge and almost not practical to implement on FPGA. It is possible to reduce the size of the ROM.Present design of ROM size is still very large. Hereafter a 7th order with 8th coefficients having 2 power 8 is equal to 256.

RESULTS AND CONCLUSION

The implementation and the methodology discussed above are some of the ways and techniques discussed in the research papers and white papers. The filtration processes are used widely in each and every application of electronics designs. The digital filters are important for an error free and quality communication. Interestingly, the way these filters are designed, requires a chain of basic electronic components. These components can be connected in the desired way to get the required results. The Field Programmable Gate Array can be programmed to behave in various ways. Filters may it be IIR or FIR can be configured by Verilog or VHDL coding techniques and making a binary logical equations of every filter. These equations can be gained by using Matlab and the results produced. Matlab can easily simulate the ideal behaviors of different types of filters with different inputs and variables.................................

 

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