Implementation of Logarithm Function

Signal processing algorithms sometimes involve computation of exponential as well as logarithm. Thus it is important to implement both the functions on digital hardware. In our previous tutorials, we have discussed implementation of exponential function. In this work, design of digital hardware to find logarithm of a number is discussed. The logarithm function is computed […]

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Computation of Exponential Function

Signal processing algorithms sometimes involve computation of exponential. Thus it is important to implement the exponential function. In this work, design of digital hardware for exponential function is discussed. Like other elementary functions, exponential function is also computed using the iterative formulas. In this work, computation of the exponential function is shown for three cases.

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FPGA Implementation of 1024-point FFT/IFFT Processor

I. Introduction Fast Fourier transform (FFT), an efficient technique to perform discrete Fourier transform (DFT), is the most important block in the signal processing domain. FFT is used to convert a signal in time domain to its frequency domain. On the other hand, inverse FFT (IFFT) block is used to convert the signal in frequency

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MATLAB Realization of FFT/IFFT w/o Direct Function

Fast Fourier Transform (FFT) is an efficient technique to implement Discrete Fourier Transform (DFT). FFT is used to observe the frequency domain characteristics of a signal or an image. Similarly Inverse FFT (IFFT) is used to convert a frequency domain signal to its time domain. Thus FFT and IFFT are very important functions in the

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State Partition Method for State Minimization

State Partition Method for State Minimization is also powerful as the Implication Chart Method and better than Row Equivalence method. In this technique, the states are partitioned into groups based on the possibility that they can be combined. Lets consider the example state table as shown in Table 1 for state minimization using state partition

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Multiplication using Look Up Tables

In the previous tutorials, many techniques are discussed for multiplication operation. An alternative way of computing multiplication is using look up tables. Multiplication using look up tables can be useful where serial multiplication is needed or memory devices are available like in FPGA device. This technique is based on the following popular algebraic equation  

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Signed Array Multiplier

In the previous tutorials, a scheme of Unsigned Array Multiplier is discussed. Unsigned Array Multiplier may be useful when we are concerned only about unsigned numbers. But in majority of digital systems, operands can be signed or unsigned and thus a dedicated signed array multiplier is needed. This signed array multiplier can perform multiplication for

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Sorting Processor Design to Sort a Serial Stream

Till now the sorting architectures discussed are based on the accessing of data elements in parallel. In real time situation the data streams are serial and serial to parallel conversion is costly as well as time consuming. On the other hand, parallel sorting architectures are very costly in terms of comparators. Thus alternate sorting architectures

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