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Author | Title | Accn# | Year | Item Type | Claims |
151 |
Roy M. Howard |
Signal theoretic introduction to random processess |
026004 |
2016 |
Book |
|
152 |
Saptarshi Das |
Fractional order signal processing: Introductory concepts and applications |
024746 |
2012 |
Book |
|
153 |
Helmuth Spieler |
Semiconductor detector systems |
OB0315 |
2005 |
eBook |
|
154 |
John W. Leis |
Digital signal processing using MATLAB for students and researchers |
024076 |
2011 |
Book |
|
155 |
Steven M. Kay |
Fundamentals of statistical processing Volume I: Estimation theory |
022606 |
1993 |
Book |
|
156 |
Steven M. Kay |
Fundamentals of statistical processing Volume II: Detection theory |
022607 |
1998 |
Book |
|
157 |
ZOUBIR, ABDELHAK |
Bootstrap techniques for signal processing |
019214 |
2004 |
Book |
|
158 |
Henry Stark |
Probability and random processes with applicatins to signal processing |
017943 |
2002 |
Book |
|
159 |
Verdu, Sergio (ed.) |
Information theory : 50 years of discovery |
017935 |
2000 |
Book |
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160 |
P.A. Nelson |
Active control of sound |
009089 |
1992 |
Book |
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152.
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Title | Fractional order signal processing: Introductory concepts and applications |
Author(s) | Saptarshi Das ;Indranil Pan |
Publication | Heidelberg, Springer, 2012. |
Description | xiii, 101p. |
Series | (Springer Briefs in Applied Sciences and Technology) |
Abstract Note | The book tries to briefly introduce the diverse literatures in the field of fractional order signal processing which is becoming an emerging topic among an interdisciplinary community of researchers. This book is aimed at postgraduate and beginning level research scholars who would like to work in the field of Fractional Order Signal processing (FOSP). The readers should have preliminary knowledge about basic signal processing techniques. Prerequisite knowledge of fractional calculus is not essential and is exposited at relevant places in connection to the appropriate signal processing topics. Basic signal processing techniques like filtering, estimation, system identification, etc. in the light of fractional order calculus are presented along with relevant application areas. The readers can easily extend these concepts to varied disciplines like image or speech processing, pattern recognition, time series forecasting, financial data analysis and modeling, traffic modeling in communication channels, optics, biomedical signal processing, electrochemical applications and many more. Adequate references are provided in each category so that the researchers can delve deeper into each area and broaden their horizon of understanding. Available MATLAB tools to simulate FOSP theories are also introduced so that the readers can apply the theoretical concepts right-away and gain practical insight in the specific domain. |
ISBN,Price | 9783642231162 : Euro 49.95(PB) |
Classification | 621.391
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Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. FRACTIONAL CALCULUS
4. FRACTIONAL ORDER SIGNALS
5. SIGNAL PROCESSING
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Item Type | Book |
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
024746 |
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621.391/DAS/024746 |
On Shelf |
|
|
|
I12032 |
|
621.391/DAS/ |
On Shelf |
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+Copy Specific Information |
154.
|
|
Title | Digital signal processing using MATLAB for students and researchers |
Author(s) | John W. Leis |
Publication | New Jersey, John Wiley and Sons, 2011. |
Description | xi, 382p. |
Abstract Note | Quickly Engages in Applying Algorithmic Techniques to Solve Practical Signal Processing Problems.With its active, hands-on learning approach, this text enables readers to master the underlying principles of digital signal processing and its many applications in industries such as digital television, mobile and broadband communications, and medical/scientific devices. Carefully developed MATLAB® examples throughout the text illustrate the mathematical concepts and use of digital signal processing algorithms. Readers will develop a deeper understanding of how to apply the algorithms by manipulating the codes in the examples to see their effect. Moreover, plenty of exercises help to put knowledge into practice solving real-world signal processing challenges.
Each chapter begins with chapter objectives and an introduction. A summary at the end of each chapter ensures that one has mastered all the key concepts and techniques before progressing in the text. Lastly, appendices listing selected web resources, research papers, and related textbooks enable the investigation of individual topics in greater depth.
Upon completion of this text, readers will understand how to apply key algorithmic techniques to address practical signal processing problems as well as develop their own signal processing algorithms. Moreover, the text provides a solid foundation for evaluating and applying new digital processing signal techniques as they are developed.
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ISBN,Price | 9780470880913 : $ 94.95(HB) |
Classification | 621.391.8:681.3
|
Keyword(s) | 1. DIGITAL SIGNAL PROCESSING
2. MATLAB
3. RANDOM SIGNAL PROCESSING
4. SIGNAL PROCESSING
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Item Type | Book |
Circulation Data
Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
024076 |
|
621.391.8:681.3/LEI/024076 |
On Shelf |
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+Copy Specific Information | |