CiteSeerX — Wordlength Estimation of Digital

Digital Object Identifier System

2021/05/13This is the web site of the International DOI Foundation (IDF), a not-for-profit membership organization that is the governance and management body for the federation of Registration Agencies providing Digital Object Identifier (DOI) services and registration, and is the registration authority for the ISO standard (ISO 26324) for the DOI system. Get price

18 Estimation Activities That Tongwei the Guesswork out of

2019/07/17Translate that concept to estimation activities like guessing the number of objects in jars. Learn more: Mama.Papa.Bubba. 2. Estimate a handful of snacks. Have little ones take a handful of a small snack, like goldfish crackers. Without counting, ask them to guess how many are in their hand. Get price

dblp: Circuits, Signals, and Systems 2004

2021/06/20Circuits, Signals, and Systems 2004: 532-536. A 18.7 dB gain, 2.0 dB noise figure low-noise amplifier in SiGe technology for various 2.4 GHz applications. Circuits, Signals, and Systems 2004: 537-540. An efficient time-domain sensitivity analysis for analog and RF design. Circuits, Signals, and Systems 2004: 541-546. Get price

CiteSeerX — On the Length Estimation of Digital Curves

1992/01/01CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): The paper details two linear-time algorithms, one for the partition of the boundary line of a digital region into digital straight segments, and Get price

CiteSeerX — Citation Query Statistical analysis of finite

For large values of n one can fit a very complex distribution arbitrarily closely by a mixture of n parametric models if one has enough data to estimate the parameters =-= [18]-=-. However, what is somewhat surprising is the closeness of fit for relatively small values of n reported by Margulis [10]. Nevertheless, the n-Poisson model has not Get price

Deep learning versus spectral techniques for frequency

Despite the increasing role of machine learning in various fields, very few works considered artificial intelligence for frequency estimation (FE). This work presents comprehensive analysis of a deep-learning (DL) approach for frequency estimation of single tones. A DL network with two layers having a few nodes can estimate frequency more accurately than well-known classical techniques can Get price

CiteSeerX — doi:10.1155/2010/171027 Research Article

The estimator enables significant reduction in the computation time required to perform complex wordlength optimizations. The proposed estimator is based on the use of Affine Arithmetic (AA) and it is presented in two versions: (i Get price

Linear Kalman Filter for Attitude Estimation from Angular

In this paper, a new Kalman filtering scheme is designed in order to give the optimal attitude estimation with gyroscopic data and a single vector observation. The quaternion kinematic equation is adopted as the state model while the quaternion of the attitude determination from a strapdown sensor is treated as the measurement. Derivations of the attitude solution from a single vector Get price

Coefficient estimation of IIR filter by a multiple crossover

2006/05/01Figure 1 shows the simple estimation architecture for the IIR digital filter by using the proposed algorithm. IIR filter in (1) Y X l-F e discrete time t signal estimated IIR .~ - filter in (2) A multiple crossover real- -- coded GA Figure 1 Get price

Coefficient estimation of IIR filter by a multiple crossover

2006/05/01Figure 1 shows the simple estimation architecture for the IIR digital filter by using the proposed algorithm. IIR filter in (1) Y X l-F e discrete time t signal estimated IIR .~ - filter in (2) A multiple crossover real- -- coded GA Figure 1 Get price

Wordlength Optimization for Linear Digital Signal Processing

uniform wordlength design. In addition, the heuristic reaches within 0.7% of the optimum multiple wordlength area over a range of benchmark problems. Index Terms— Bitwidth, digital signal processor (DSP), optimization, I. I Get price

CiteSeerX — Citation Query Analysis of mismatch effects

Digital correction is implemented by linear finite-impulse response (FIR) filters, of which the coefficients are determined through adaptive off-line or on-line calibration. Of particular interest is an on-line "blind " calibration technique Get price

Telescoping rounding for suboptimal finite wordlength FIR

Telescoping rounding for suboptimal finite wordlength FIR digital filter design By Dušan M. Kodek and Marjan Krisper Abstract Rounding of the so-called infinite precision coefficients to their nearest finite wordlength representation Get price

Wordlength Optimization for Linear Digital Signal Processing

uniform wordlength design. In addition, the heuristic reaches within 0.7% of the optimum multiple wordlength area over a range of benchmark problems. Index Terms— Bitwidth, digital signal processor (DSP), optimization, I. I Get price

Wordlength Estimation of Digital Controller Synthesis for Inkjet

Wordlength Estimation of Digital Controller Synthesis for Inkjet Printer Mechanism By Hung-ming Cheng and Georgia T. -c. Chiu Abstract Abstract — The effect of finite wordlength on coefficients in implementing discrete-time Get price

Audio bit depth

An analog signal (in red) encoded to 4-bit PCM digital samples (in blue); the bit depth is four, so each sample's amplitude is one of 16 possible values. In digital audio using pulse-code modulation (PCM), bit depth is the number of bits of information in each sample, and it directly corresponds to the resolution of each sample. Examples of Get price

An Efficient Algorithm For The Design Of Lattice Wave Digital

Abstract This paper describes an efficient algorithm for the design of lattice wave digital filters with short coefficient wordlength. The proposed algorithm guarantees that the optimum finitewordlength solution can be found for both the Get price

3D pose estimation

3D pose estimation is a process of predicting the transformation of an object from a user-defined reference pose, given an image or a 3D scan.It arises in computer vision or robotics where the pose or transformation of an object can be used for alignment of a Computer-Aided Design models, identification, grasping, or manipulation of the object. Get price

Spectral density estimation

In statistical signal processing, the goal of spectral density estimation (SDE) is to estimate the spectral density (also known as the power spectral density) of a random signal from a sequence of time samples of the signal.[1] Intuitively speaking, the spectral density characterizes the frequency content of the signal. One purpose of Get price

An Efficient Algorithm For The Design Of Lattice Wave Digital

Abstract This paper describes an efficient algorithm for the design of lattice wave digital filters with short coefficient wordlength. The proposed algorithm guarantees that the optimum finitewordlength solution can be found for both the Get price

An overview of stability analysis and state estimation for

2020/05/28As one of the most popular state estimation approaches, the set-membership state estimation issue has been well investigated, and a rich body of literature has been available (see e.g.,,, ). Nevertheless, the corresponding results for neural networks have been much limited, see e.g. [159], and the study for MNNs of set-membership state estimation has been far from adequate at the moment. Get price

SQNR estimation of non

2010/08/27SQNR estimation of non-linear fixed-point algorithms. Abstract: In this paper, a fast and accurate quantization noise estimator aiming at fixed-point implementations of Digital Signal Processing (DSP) algorithms is presented. The estimator enables significant reduction in the computation time required to perform complex wordlength optimizations. Get price

SQNR estimation of non

2010/08/27SQNR estimation of non-linear fixed-point algorithms. Abstract: In this paper, a fast and accurate quantization noise estimator aiming at fixed-point implementations of Digital Signal Processing (DSP) algorithms is presented. The estimator enables significant reduction in the computation time required to perform complex wordlength optimizations. Get price

Word

2016/10/01Accuracy estimation is given by (8) ae = co pa ∗ 100 where, co is the number of correct identifications, pa is the total number of patterns in the dataset, and ae is the accuracy estimation. Overall accuracy is then computed using (9) Ac = ∑ i = 1 n ae i n where, Ac is the overall accuracy estimation. Get price

Estimation and synthesis of reachable set for delta operator

2019/05/01State-feedback controller design. In this section, the obtained condition of reachable set estimation will be applied in the design of state-feedback controllers for delta operator system under bounded peak disturbances. Consider system (1) with control input: (12) δ x ( t k) = A x ( t k) + B ω ( t k) + B u u ( t k), where u ( t k) ∈ R n u Get price

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