標(biāo)題: Titlebook: Smartphone-Based Real-Time Digital Signal Processing, Third Edition; Nasser Kehtarnavaz,Abhishek Sehgal,Arian Azarang Book 2020Latest edit [打印本頁(yè)] 作者: 卑賤 時(shí)間: 2025-3-21 16:33
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書目名稱Smartphone-Based Real-Time Digital Signal Processing, Third Edition讀者反饋
書目名稱Smartphone-Based Real-Time Digital Signal Processing, Third Edition讀者反饋學(xué)科排名
作者: recede 時(shí)間: 2025-3-21 23:18
Nasser Kehtarnavaz,Abhishek Sehgal,Shane Parris,Arian Azarangf spatial and spectral resolution of satellite imaging sensors. Also it comes from the daily increase of remote sensing databases. Deep learning approaches, especially Convolutional Neural Networks (CNNs) techniques, have been recently outperforming other state-of-the-art classification approaches i作者: depreciate 時(shí)間: 2025-3-22 00:44 作者: 身體萌芽 時(shí)間: 2025-3-22 06:18
Nasser Kehtarnavaz,Abhishek Sehgal,Shane Parris,Arian Azarangf spatial and spectral resolution of satellite imaging sensors. Also it comes from the daily increase of remote sensing databases. Deep learning approaches, especially Convolutional Neural Networks (CNNs) techniques, have been recently outperforming other state-of-the-art classification approaches i作者: Constituent 時(shí)間: 2025-3-22 10:33 作者: PLIC 時(shí)間: 2025-3-22 14:14
Nasser Kehtarnavaz,Abhishek Sehgal,Shane Parris,Arian Azarangand distributed computing. Given that optimization is one of the pillars of machine learning and predictive modeling, distributed optimization methods have recently garnered ample attention in the literature. Although previous research has mostly focused on settings where either the observations, or作者: mitten 時(shí)間: 2025-3-22 21:06
Nasser Kehtarnavaz,Abhishek Sehgal,Shane Parris,Arian Azarangc pattern recognition systems have proven successful in many applications. The wide use of these systems depends on their ability to adapt to changing environmental conditions and to deal with new objects. This requires learning capabilities on the parts of these systems. The exceptional attraction 作者: 圍裙 時(shí)間: 2025-3-22 23:12
Nasser Kehtarnavaz,Abhishek Sehgal,Shane Parris,Arian Azarangity and attracts many researchers. Automatic pattern recognition systems have proven successful in many applications. The wide use of these systems depends on their ability to adapt to changing environmental conditions and to deal with new objects. This requires learning capabilities on the parts of作者: AMPLE 時(shí)間: 2025-3-23 05:08 作者: 帶子 時(shí)間: 2025-3-23 07:55
Nasser Kehtarnavaz,Abhishek Sehgal,Shane Parris,Arian Azarangm. Many practical and useful combination techniques work by using the output of several classifiers as the input of a second layer classifier. The problem of this and other multi-classifier approaches is that huge amounts of memory are required to store a set of multiple classifiers and, more import作者: lethal 時(shí)間: 2025-3-23 12:47
Nasser Kehtarnavaz,Abhishek Sehgal,Shane Parris,Arian Azarangediction errors as parameters that significantly distinguish ictal from non-ictal activity. We suppress seizure-related activity by modeling EEG signal acquisition as a cocktail party problem and obtaining seizure-related activity using Independent Component Analysis. Following recent studies intric作者: 巫婆 時(shí)間: 2025-3-23 15:46 作者: 飛鏢 時(shí)間: 2025-3-23 21:10 作者: 拋射物 時(shí)間: 2025-3-24 01:16 作者: Resection 時(shí)間: 2025-3-24 06:16
Nasser Kehtarnavaz,Abhishek Sehgal,Shane Parris,Arian Azarangnt protocols, and text documents. Such systems should be able to retrieve these sources by content. That requires specific retrieval and indexing strategies for images and signals. Higher quali978-3-540-66599-1978-3-540-48097-6Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Pelago 時(shí)間: 2025-3-24 09:22
1932-1236 rithms in real-time considering that these days nearly all students possess smartphones. Changing the hardware platforms that are currently used in applied or r978-3-031-01415-4978-3-031-02543-3Series ISSN 1932-1236 Series E-ISSN 1932-1694 作者: 誘惑 時(shí)間: 2025-3-24 11:40
Smartphone-Based Real-Time Digital Signal Processing, Third Edition作者: cajole 時(shí)間: 2025-3-24 17:22 作者: 凹室 時(shí)間: 2025-3-24 20:05
Nasser Kehtarnavaz,Abhishek Sehgal,Shane Parris,Arian Azarangctively high classification accuracy alongside a minimal computational use. We conduct our proposed technique using three state-of-the-art datasets: WHU-RS Dataset, UCMerced Land Use Dataset, and Brazilian Coffee Scenes Dataset. The proposed technique results in enhancing the accuracy performance, i作者: 兇殘 時(shí)間: 2025-3-25 01:12 作者: synovitis 時(shí)間: 2025-3-25 07:17
Nasser Kehtarnavaz,Abhishek Sehgal,Shane Parris,Arian Azarangctively high classification accuracy alongside a minimal computational use. We conduct our proposed technique using three state-of-the-art datasets: WHU-RS Dataset, UCMerced Land Use Dataset, and Brazilian Coffee Scenes Dataset. The proposed technique results in enhancing the accuracy performance, i作者: 表主動(dòng) 時(shí)間: 2025-3-25 09:41
Nasser Kehtarnavaz,Abhishek Sehgal,Shane Parris,Arian Azarang. We conduct numerical experiments in Spark using real-world and simulated data sets and study the scaling properties of our methods. Our empirical evaluation of the proposed algorithms demonstrates the out-performance of a block distributed ADMM method, which, to the best of our knowledge is the on作者: certitude 時(shí)間: 2025-3-25 15:12
Nasser Kehtarnavaz,Abhishek Sehgal,Shane Parris,Arian Azarangical image analysis. Many databases are developed that contain multimedia sources such as images, measurement protocols, and text documents. Such systems should be able to retrieve these sources by content. That requires specific retrieval and indexing strategies for images and signals. Higher quali作者: verdict 時(shí)間: 2025-3-25 19:06 作者: COMA 時(shí)間: 2025-3-25 23:39 作者: 倔強(qiáng)不能 時(shí)間: 2025-3-26 03:24
Nasser Kehtarnavaz,Abhishek Sehgal,Shane Parris,Arian Azarangctal EEG signal maximally. We learn a one-step forecast operator restricted to just these features, using autoregression (AR(1)). We improve this in a novel way by cross-learning common knowledge across patients and recordings using ., and devise a novel transformation to increase the efficiency of 作者: SNEER 時(shí)間: 2025-3-26 04:45
to clusters of .-.. In addition, the clusters were analyzed by a wine expert. The clusters represented different types of Red wine quality. The success and the accuracy of the imputation were validated using another two datasets: White wine and Page blocks (from the UCI). The results were consisten作者: deriver 時(shí)間: 2025-3-26 12:11
Synthesis Lectures on Signal Processinghttp://image.papertrans.cn/s/image/869123.jpg作者: 迎合 時(shí)間: 2025-3-26 16:03
978-3-031-01415-4Springer Nature Switzerland AG 2020作者: 不如屎殼郎 時(shí)間: 2025-3-26 17:04 作者: 觀點(diǎn) 時(shí)間: 2025-3-27 00:59
Analog-to-Digital Signal Conversion,es. Sampling and quantization constitute the steps needed to achieve analog-to-digital signal conversion. To minimize any loss of information that may occur as a result of this conversion, it is important to understand the underlying principles behind sampling and quantization.作者: CURT 時(shí)間: 2025-3-27 04:07
Android Software Development Tools,This chapter covers the required steps to install the software tools for the development of C codes on Android smartphones. In Chapter 3, the iOS version for iPhone smartphones is covered.作者: Memorial 時(shí)間: 2025-3-27 08:09 作者: squander 時(shí)間: 2025-3-27 12:48
Real-Time Filtering,For carrying out real-time filtering, it is required to know how to acquire input samples, process them, and provide the result. This chapter addresses these issues toward achieving real-time filtering implementation on the ARM processor of a smartphone.作者: Volatile-Oils 時(shí)間: 2025-3-27 16:15 作者: angiography 時(shí)間: 2025-3-27 19:25
Domain Transforms,Frequency domain transforms are extensively used in signal processing applications. In this chapter, the Discrete Fourier Transform (DFT) and the Fast Fourier Transform (FFT), which is the computationally efficient version of the DFT, are covered.作者: Liability 時(shí)間: 2025-3-28 01:48 作者: OPINE 時(shí)間: 2025-3-28 02:51
Implementation via MATLAB Coder,ar convolution filtering algorithm. Considering that MATLAB programming is widely used in signal processing, the approach presented in this chapter allows running on smartphones many signal processing algorithms which are already written in MATLAB and publicly available.作者: Expand 時(shí)間: 2025-3-28 07:29
Introduction,orithms on DSP boards, e.g., [1—6]. This book is written to provide an alternative hardware platform which students can use in an anywhere-anytime manner and at no cost as it is already in their possession, that being their own smartphones.作者: Instinctive 時(shí)間: 2025-3-28 13:40
Fixed-Point vs. Floating-Point, the CPU possesses the necessary hardware for manipulating both of these parts. As a result, in general, floating-point operations involve more logic elements (larger ALU) and more cycles (more time) to manipulate floating-point values.作者: 是貪求 時(shí)間: 2025-3-28 17:02
1932-1236 g courses in many engineering programs for the purpose of teaching students the technical know-how for putting signal processing algorithms or theory into practical use. These courses normally involve access to a teaching laboratory that is equipped with hardware boards, in particular DSP boards, to作者: Decongestant 時(shí)間: 2025-3-28 19:14 作者: Immunotherapy 時(shí)間: 2025-3-29 00:03 作者: ELATE 時(shí)間: 2025-3-29 06:56
Fixed-Point vs. Floating-Point, processor, numbers are represented and manipulated in integer format. In a floating-point processor, in addition to integer arithmetic, floating-point arithmetic can be handled. This means that numbers are represented by the combination of a mantissa (or a fractional part) and an exponent part, and作者: Pamphlet 時(shí)間: 2025-3-29 08:19
Code Optimization, include compiler optimizations, efficient C code writing, and architecture-specific instructions of the ARM processor. For a better understanding of these techniques, they are illustrated through the signal processing example app of linear convolution. In general, to write an efficient C code, it h作者: 整頓 時(shí)間: 2025-3-29 12:07 作者: Anecdote 時(shí)間: 2025-3-29 19:14
Book 2020Latest editionin many engineering programs for the purpose of teaching students the technical know-how for putting signal processing algorithms or theory into practical use. These courses normally involve access to a teaching laboratory that is equipped with hardware boards, in particular DSP boards, together wit
