Essays about: "Discrete time filters"

Showing result 1 - 5 of 10 essays containing the words Discrete time filters.

  1. 1. Evaluation of Discrete-Time Wideband Receivers for NB-IoT

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Magnus Wasting; [2021]
    Keywords : Discrete; time; filter; NB-IoT; Charge; Sharing; CMOS; Technology and Engineering;

    Abstract : A receiver that covers several RF bands requires multiple front-end filters which increases the cost in terms of components and/or board/silicon area. Front-end filters assist a receiver to withstand interference at multiples of its down-conversion frequency. READ MORE

  2. 2. The Impact of Database Querying Exactitude in Intellectual Property Law Practice in Brazil

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Henrique Hemerly; [2020]
    Keywords : database; phonetics; orthography; query; search engine; law; search accuracy; intellectual property; search term; search; SQL; trademark; data fetching;

    Abstract : In current business affairs, most executive professions require one or several kinds of data consultation in their practice. Nowadays, the majority of data either is or has been digitalized and digital data is defined as information represented in a discrete and discontinuous manner. READ MORE

  3. 3. Detection of Human Emotion from Noise Speech

    University essay from Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandling; Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandling

    Author : Sai Chandra Sekhar Reddy Nallamilli; Nihanth Kandi; [2020]
    Keywords : Neural Network; Activation Function; Fast Fourier Transform; Karhunen-Loeve Transform; speech enhancement; filtering; Wavelet Transform; Speech preprocessing; signal to noise ratio; shallow neural network;

    Abstract : Detection of a human emotion from human speech is always a challenging task. Factors like intonation, pitch, and loudness of signal vary from different human voice. So, it's important to know the exact pitch, intonation and loudness of a speech for making it a challenging task for detection. READ MORE

  4. 4. Airborne Radar Ground Clutter Suppression Using Multitaper Spectrum Estimation & Choosing DPSS Parameters

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Carl-Henrik Hanquist; [2018]
    Keywords : DPSS; Multitaper; Radar;

    Abstract : One of the biggest challenges in any airborne radar is to distinguish a target from a strong ground echo. The main problem is that the ground echo, called ground clutter, can be up to a million times stronger than the response from the target in question. READ MORE

  5. 5. Filtering techniques for asset allocation using a Discrete Time Micro-structure model: a comparative study

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Henning Zakrisson; [2017]
    Keywords : portfolio management; kalman filter; asset allocation; hidden variable; state space; discrete time micro-structure model; Business and Economics;

    Abstract : This paper is a comparative study of different approaches to using a Discrete Time Micro-structure model. By using the three filtering techniques Extended Kalman, Unscented Kalman and Bootstrap Particle, the hidden variables; excess demand and market liquidity, were estimated and used in an asset allocation strategy that invested in the asset when the excess demand as estimated as positive, due to the assumption that positive excess demand would make the price go up. READ MORE