Xem 1-20 trên 88 kết quả Filtering data
  • Tham khảo tài liệu 'tự học excel 2007 - data filter', công nghệ thông tin, tin học văn phòng phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

    doc7p quanghoa25 04-03-2011 252 101   Download

  • Oracle Database Application Developer’s Guide - Expression Filter provides usage and reference information about Expression Filter, a feature of Oracle Database that stores, indexes, and evaluates conditional expressions in relational tables. Application developers and DBAs can save time and labor by using Oracle Expression Filter to store and evaluate large sets of conditional expressions in the database.

    pdf134p vitconxinhdep 30-07-2009 135 47   Download

  • 4.2.3 MTMF MTMF combines the best parts of the Linear Spectral Mixing model and the statistical Matched Filter model while avoiding the drawbacks of each parent method (Boardman, 1998). It is a useful Matched Filter method without knowing all the possible endmembers in a landscape especially in case of subtle, sub-pixel occurrences. Firstly, pixel spectra and endmember spectra require a minimum noise fraction (MNF) (Green et al., 1988, Boardman, 1993) transformation. MNF reduces and separates an image into its most dimensional and non-noisy components.

    pdf464p lulanphuong 22-03-2012 114 39   Download

  • Microsoft® SQL Server has become one of the most popular database management systems in the world. From small development projects to some of the best-known and most prestigious sites on the Web, SQL Server has proven itself to be a solid, reliable, fast, and trusted solution to all sorts of data-storage needs.

    pdf362p nghiasimon 22-09-2012 37 21   Download

  • Digital filters are widely used in processing digital signals of many diverse applications, including speech processing and data communications, image and video processing, sonar, radar, seismic and oil exploration, and consumer electronics.

    pdf91p nguyen4 17-11-2009 85 15   Download

  • Application filtering is one of the most difficult types of filtering that firewalls perform, because it requires the firewall to process the data at the application layer (Layer 7) of the OSI model

    pdf6p chutieuchuathieulam 23-07-2010 46 7   Download

  • [ Team LiB ] Recipe 3.1 Filtering and Sorting Data Problem You have a DataSet filled with data, but you need to work with only a subset of the records and also to sort them. You need a way to both filter and sort the records in your DataSet without requerying the data source.

    pdf4p luvpro 04-08-2010 40 5   Download

  • This book starts by setting a clear foundation for what Core Data is and how it works and then takes you step-by-step through how to extract the results you need from this powerful framework. You’ll learn what the components of Core Data are and how they interact, how to design your data model, how to filter your results, how to tune performance, how to migrate your data across data model versions, and many other topics around and between these that will separate your apps from the crowd.

    pdf394p bongbong_hong 14-12-2012 51 5   Download

  • These days it seems like everyone is collecting data. But all of that data is just raw information -- to make that information meaningful, it has to be organized, filtered, and analyzed. Anyone can apply data analysis tools and get results, but without the right approach those results may be useless. Author Philipp Janert teaches you how to think about data: how to effectively approach data analysis problems, and how to extract all of the available information from your data.

    pdf533p goshop_123 26-04-2013 24 5   Download

  • Scientists, engineers and the like are a strange lot. Unperturbed by societal norms, they direct their energies to finding better alternatives to existing theories and concocting solutions to unsolved problems. Driven by an insatiable curiosity, they record their observations and crunch the numbers. This tome is about the science of crunching. It’s about digging out something of value from the detritus that others tend to leave behind. The described approaches involve constructing models to process the available data.

    pdf286p cucdai_1 16-10-2012 19 4   Download

  • Data Warehouse Design consists in collecting and filtering the user requirements. It involves the designer, end-users of DW and produces the specifications concerning. Data Warehouse Design includes Requirement Specification, Conceptual Design, Logical Design, Conclusions, Case study.

    ppt48p cocacola_10 08-12-2015 12 2   Download

  • Active Low-Pass Filter Design focuses on active low pass filter design using operational amplifiers. Low pass filters are commonly used to implement antialias filters in data acquisition systems. Design of second order filters is the main topic of consideration.

    pdf24p hanhphucgiandon803 23-06-2016 20 2   Download

  • Chapter 2: DSP, filters and the fourier transform. In this chapter, you learned to: Digital signal processing and digital audio recap from CM2202; relationship between amplitude, frequency and phase; basic DSP concepts and definitions; Why use decibel scales?...

    pdf107p estupendo4 18-08-2016 3 1   Download

  • BÀI TẬP 1: Sắp xếp lại Resource Information  Chuyển sang Resource Sheet View  Nhấp vào Project trên thanh công cụ rồi vào Sort và Sort by  Chọn Group như là cấp độ đầu tiên để sort  Sau đó chọn Name như là cấp độ thứ 2 để sắp xếp

    pdf44p hoangduyngoc 27-05-2011 226 112   Download

  • Signals represent information about data, voice, audio, image, video… There are many ways to classify signals but here we categorize signals as either analog (continuous-time) or digital (discretetime). Signal processing is to use circuits and systems (hardware and software) to act on input signal to give output signal which differs from the input, the way we would like to.

    pdf361p feteler 27-11-2012 74 28   Download

  • Digital communications is a rapidly advancing applications area. Significant current activities are in the development of mobile communications equipment for personal use, in the expansion of the available bandwidth (and hence information carrying capacity) of the backbone transmission structure through developments in optical fibre, and in the ubiquitous use of networks for data communications.

    pdf1073p meoyeuagu 21-05-2013 42 25   Download

  • FADING-MEMORY (DISCOUNTED LEAST-SQUARES) FILTER 7.1 DISCOUNTED LEAST-SQUARES ESTIMATE The fading-memory filter introduced in Chapter 1, is similar to the fixedmemory filter in that it has essentially a finite memory and is used for tracking a target in steady state. As indicated in Section 1.2.6, for the fading-memory filter the data vector is semi-infinite and given by Y ðnÞ ¼ ½ y n ; y nÀ1 ; . . .Š T ð7:1-1Þ The filter realizes essentially finite memory for this semi-infinite data set by having, as indicated in section 1.2.6, a fading-memory.

    pdf13p khinhkha 30-07-2010 40 15   Download

  • The celebrated Kalman filter, rooted in the state-space formulation of linear dynamical systems, provides a recursive solution to the linear optimal filtering problem. It applies to stationary as well as nonstationary environments. The solution is recursive in that each updated estimate of the state is computed from the previous estimate and the new input data, so only the previous estimate requires storage.

    pdf21p duongph05 07-06-2010 61 14   Download

  • The Extended Kalman Filter (EKF) provides an efficient method for generating approximate maximum-likelihood estimates of the state of a discrete-time nonlinear dynamical system (see Chapter 1). The filter involves a recursive procedure to optimally combine noisy observations with predictions from the known dynamic model. A second use of the EKF involves estimating the parameters of a model (e.g., neural network) given clean training data of input and output data (see Chapter 2).

    pdf51p duongph05 07-06-2010 104 14   Download

  • FIXED-MEMORY POLYNOMIAL FILTER 5.1 INTRODUCTION In Section 1.2.10 we presented the growing-memory g–h filter. For n fixed this filter becomes a fixed-memory filter with the n most recent samples of data being processed by the filter, sliding-window fashion. In this chapter we derive a higher order form of this filter. We develop this higher order fixed-memory polynomial filter by applying the least-squares results given by (4.1-32). As in Section 1.2.

    pdf28p khinhkha 30-07-2010 54 11   Download

Đồng bộ tài khoản