1 edition of **Filter Design With Time Domain Mask Constraints: Theory and Applications** found in the catalog.

- 257 Want to read
- 37 Currently reading

Published
**2001**
by Springer US in Boston, MA
.

Written in English

- Systems engineering,
- Computer engineering,
- Mathematical optimization,
- Engineering

Optimum envelope-constrained filter design is concerned with time-domain synthesis of a filter such that its response to a specific input signal stays within prescribed upper and lower bounds, while minimizing the impact of input noise on the filter output or the impact of the shaped signal on other systems depending on the application. In many practical applications, such as in TV channel equalization, digital transmission, and pulse compression applied to radar, sonar and detection, the soft least square approach, which attempts to match the output waveform with a specific desired pulse, is not the most suitable one. Instead, it becomes necessary to ensure that the response stays within the hard envelope constraints defined by a set of continuous inequality constraints. The main advantage of using the hard envelope-constrained filter formulation is that it admits a whole set of allowable outputs. From this set one can then choose the one which results in the minimization of a cost function appropriate to the application at hand. The signal shaping problems so formulated are semi-infinite optimization problems. This monograph presents in a unified manner results that have been generated over the past several years and are scattered in the research literature. The material covered in the monograph includes problem formulation, numerical optimization algorithms, filter robustness issues and practical examples of the application of envelope constrained filter design. Audience: Postgraduate students, researchers in optimization and telecommunications engineering, and applied mathematicians.

**Edition Notes**

Statement | by Ba-Ngu Vo, Antonio Cantoni, Kok Lay Teo |

Series | Applied Optimization -- 56, Applied optimization -- 56. |

Contributions | Cantoni, Antonio, Teo, Kok Lay |

Classifications | |
---|---|

LC Classifications | TK7888.4 |

The Physical Object | |

Format | [electronic resource] / |

Pagination | 1 online resource (xx, 334 p.) |

Number of Pages | 334 |

ID Numbers | |

Open Library | OL27038702M |

ISBN 10 | 1441948589, 1475734093 |

ISBN 10 | 9781441948588, 9781475734096 |

OCLC/WorldCa | 851759936 |

The Sobel operator, sometimes called the Sobel–Feldman operator or Sobel filter, is used in image processing and computer vision, particularly within edge detection algorithms where it creates an image emphasising edges. It is named after Irwin Sobel and Gary Feldman, colleagues at the Stanford Artificial Intelligence Laboratory (SAIL). Sobel and Feldman presented the idea of an "Isotropic. A Basic Introduction to Filters—Active, Passive, and Switched-Capacitor INTRODUCTION Filters of some sort are essential to the operation of most electronic circuits. It is therefore in the interest of anyone involved in electronic circuit design to have the ability to develop filter circuits capable of meeting a given set of Size: KB.

E E Linear Systems: Time Domain and Transform Analysis (3) Linear Systems: Time Domain and Transform Analysis, is a recommended graduate level course for the Master of Engineering in Electrical Engineering at Capital College, since it is a prerequisite for most of . Iterative algorithms form an important part of optimization theory and numerical analysis. The basic idea behind such an algorithm is that the solution to the problem of recovering a signal, which satisfies certain constraints from its degraded observation, can be found by the alternate implementation of the degradation and the constraint operator.

Figure A convolution between two signals is calculated as N multiplications and one big addition for each output sample.N is the shortest length of the two input signals, usually a fixed time domain mask, which for FIR filters will be the impulse response of the filter. For each output sample, the impulse response is shifted and aligned with the last N samples of the input. Get this from a library! Integrated Video-Frequency Continuous-Time Filters: High-Performance Realizations in BiCMOS. [Scott D Willingham; Ken Martin] -- Advances in the state of the art mean the signal processing ICs of ever-increasing complexity are being introduced. While the typical portion of a large IC devoted to analog circuits has diminished.

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Optimum envelope-constrained filter design is concerned with time-domain synthesis of a filter such that its response to a specific input signal stays within prescribed upper and lower bounds, while minimizing the impact of input noise on the filter output or the impact of the shaped signal on. Filter Design with Time Domain Mask Constraints: Theory and Applications [Book Review] Published in: IEEE Circuits and Devices Magazine (Volume: 20, Author: D.

Lingaiah. Optimum envelope-constrained filter design is concerned with time-domain synthesis of a filter such that its response to a specific input signal stays within prescribed upper and lower bounds, while minimizing the impact of input noise on the filter output or the impact of the shaped signal on other systems depending on the application.

Filter Design with Time Domain Mask Constraints: Theory and Applications [Book Review] Article (PDF Available) in IEEE Circuits and Devices Magazine 20(3) 38 June with 94 ReadsAuthor: Dharmendra Lingaiah.

Get this from a library. Filter design with time domain mask constraints: theory and applications. [Ba-Ngu Vo; Antonio Cantoni; K L Teo] -- "Optimum envelope-constrained filter-design is concerned with time-domain synthesis of a filter such that its response to a specific input signal stays within prescribed upper and lower bounds, while.

Filter Design With Time Domain Mask Constraints: Theory and Applications. Filtering with Convex Response Constraints. In: Filter Design With Time Domain Mask Constraints: Theory and Applications. Applied Optimization, vol Springer, Boston, : Ba-Ngu Vo, Antonio Cantoni, Kok Lay Teo.

Get this from a library. Filter Design With Time Domain Mask Constraints: Theory and Applications. [Ba-Ngu Vo; Antonio Cantoni; Kok Lay Teo] -- Optimum envelope-constrained filter design is concerned with time-domain synthesis of a filter such that its response to a specific input signal stays within prescribed upper and lower bounds, while.

Ba-Ngu Vo is the author of Filter Design with Time Domain Mask Constraints ( avg rating, 0 ratings, 0 reviews, published ), Random Finite Sets for.

Filter Design With Time Domain Mask Constraints: Theory and Applications. Vo BN., Cantoni A., Teo K.L. () Robust Envelope Constrained Filtering. In: Filter Design With Time Domain Mask Constraints: Theory and Applications. Applied Optimization, vol Springer, Boston, MAAuthor: Ba-Ngu Vo, Antonio Cantoni, Kok Lay Teo.

In signal processing, the design of many filters can often be cast as a constrained optimization problem where the constraints are defined by the specifications of the filter.

These specifications can arise either from practical considerations or from the standards set by certain regulatory bodies. Book Search tips Selecting this option will search all publications across the Scitation platform Selecting this option will search all publications for the Publisher/Society in context.

Filter Design with Time Domain Mask Constraints: Theory and Applications. The Journal of Cited by: Vo BN., Cantoni A., Teo K.L. () Numerical Methods for Continuous-Time EC Filtering.

In: Filter Design With Time Domain Mask Constraints: Theory and Applications. Applied Optimization, vol Author: Ba-Ngu Vo, Antonio Cantoni, Kok Lay Teo. Full version Focus and Leverage: The Critical Methodology for Theory of Constraints, Lean, and.

Publications. Book. Vo, A. Cantoni and K. Teo, Filter design with time domain mask constraints: Theory and Applications, Kluwer Academic Publisher, A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text.

Analysis of the Sallen-Key Architecture 5 Simplification 1: Set Filter Components as Ratios Letting R1=mR, R2=R, C1=C, and C2=nC, results in: fc 1 2 RC mn and Q mn m 1 mn(1 K).

This simplifies things somewhat, but there is interaction between fc and Q. Design should start by setting the gain and Q basedFile Size: 92KB. [Read PDF] Design and Analysis of Integrator-Based Log-Domain Filter (THE KLUWER INTERNATIONAL.

Echo Signal Processing [Book Review] archies of the design process, the sec- Filter Design with Time Domain Mask Constraints: Theory and Applications [Book Review] Author: Dharmendra Lingaiah.

Iterative algorithms for envelope constrained filter design Conference Paper (PDF Available) in Acoustics, Speech, and Signal Processing, ICASSP, International Conference on June. If a high-pass filter and a low-pass filter are cascaded, a band pass filter is created.

The band pass filter passes a band of frequencies between a lower cutoff frequency, f l, and an upper cutoff frequency, f h. Frequencies below f l and above f h are in the stop band. An idealized band pass filter is.

Explore books by Ba-Ngu Vo with our selection at Click and Collect from your local Waterstones or get FREE UK delivery on orders over £In the figure,the filters F define the transformation function and h(n) is the impulse response of the 1-D prototype filter.

Trigonometric sum-of-squares optimization. Here we discuss a method for multidimensional FIR filter design via sum-of-squares formulations of spectral mask constraints.The filter w t x [n] is derived as the product of an ideal bandpass filter impulse response and a time domain mask (or a window), that is, () w t x [ n ] = h [ n ] w [ n ], where h [ n ] is an ideal bandpass filter with the selected signal bandwidth and w [ n ] is a window function.