Digital Signal Processing (DSP) algorithms, which are commonly used in any customer electronics devices such as handheld devices, have evolved to a more and more complex algorithm. However, some of the basic algorithm kernel, such as the FIR filter, can be found in many DSP based application. Thus, our work emphasizes on the optimization techniques to reduce the execution time of the Finite Impulse Response filter. Our optimization techniques are carried both in C program and in assembly program.Master of Science (Signal Processing
In this project, the student needs to help to design software to enable the control of a chip based ...
A new simple method to design linear-phase finite impulse response (FIR) digital filters, based on t...
Abstract- In modern world Digital Signal Processing (DSP) is a prominent one. Finite Impulse Respons...
<p>Digital signal processing (DSP) circuits are extremely important in computing and communications ...
Includes bibliographical references (page 47)This paper presents a method for determining the\ud opt...
Finite Impulse Response (FIR) filters is very important in signal Processing Applications. This rese...
FIR filtering is one of the most populars DSP algorithms. Finite impulse response filters are easy t...
Approximate Computing has emerged as a new low-power design approach for application domains charact...
AbstractDigital signal processing (DSP) is one of the most powerful technologies which will shape th...
Abstract:- In digital systems, the filters occupy a major role. This paper reviews several technique...
Due to the explosive growth of digital signal processing applications, the demand for high performan...
In application specific implementation of digital sig-nal processing algorithms optimization is impo...
In application specific implementation of digital signal processing algorithms optimization is impor...
Finite impulse response (FIR) filters have the advantage of linear phase, guaranteed stability, fewe...
The prime goal of design and synthesis of Digital Signal Processing (DSP) algorithms and architectur...
In this project, the student needs to help to design software to enable the control of a chip based ...
A new simple method to design linear-phase finite impulse response (FIR) digital filters, based on t...
Abstract- In modern world Digital Signal Processing (DSP) is a prominent one. Finite Impulse Respons...
<p>Digital signal processing (DSP) circuits are extremely important in computing and communications ...
Includes bibliographical references (page 47)This paper presents a method for determining the\ud opt...
Finite Impulse Response (FIR) filters is very important in signal Processing Applications. This rese...
FIR filtering is one of the most populars DSP algorithms. Finite impulse response filters are easy t...
Approximate Computing has emerged as a new low-power design approach for application domains charact...
AbstractDigital signal processing (DSP) is one of the most powerful technologies which will shape th...
Abstract:- In digital systems, the filters occupy a major role. This paper reviews several technique...
Due to the explosive growth of digital signal processing applications, the demand for high performan...
In application specific implementation of digital sig-nal processing algorithms optimization is impo...
In application specific implementation of digital signal processing algorithms optimization is impor...
Finite impulse response (FIR) filters have the advantage of linear phase, guaranteed stability, fewe...
The prime goal of design and synthesis of Digital Signal Processing (DSP) algorithms and architectur...
In this project, the student needs to help to design software to enable the control of a chip based ...
A new simple method to design linear-phase finite impulse response (FIR) digital filters, based on t...
Abstract- In modern world Digital Signal Processing (DSP) is a prominent one. Finite Impulse Respons...