similar to: audio data encoding in FLAC: how complex ?

I have data on area under cultivation of a crops for 17 states..I need a scatter plot to be made for the following assignment Read the data file /Data/ep602/areas.csv, and make a scatter plot that displays area under rice in 1960s on the x axis, and percentage change in area under rice between 1960 and 1990 on the y axis. Let origin of the plot be at (50 per cent of area of rice in India as a

"Linda A. Walsh" <flac at tlinx.org> wrote: > what does the exhaustive model search do? I am not an expert on the guts of FLAC, but there is some information about this at: http://flac.sourceforge.net/documentation_format_overview.html and scroll down to "MODELING". > Does it try all of the functions listed under "-A" to find the 'best', >

hi， I want to know more about FLAC decoding, rice coding and LPC, more details or examples. I view https://xiph.org/flac/format.html. But only know some theory which is very abstract. what is the table for FLAC decoding? thank all. M201672771 at hust.edu.cn -------------- next part -------------- An HTML attachment was scrubbed... URL:

I mean that the first statement [Subset streams must use one of 192/576/1152/2304/4608/256/512/1024/2048/4096 (and 8192/16384 if the sample rate is >48kHz).] published on https://www.xiph.org/flac/documentation_tools_flac.html#flac_options_blocksize page IS NOT EQUAL to second statement [The blocksize bits in the frame header must be 0001-1110. The blocksize must be <=16384; if the sample

Hello, I am the author of the Bonk audio compression program... i've just been looking at your comparrison table, and i noticed bonk gets marginally better compression than Flac on some files (actually i was rather surprised to see bonk on the list at all, it's not exactly high profile :-) ). Bonk in lossless mode is a pretty naive implementation of a predictive coder, so the main

Date: Sun, 19 Oct 2003 00:59:22 +0200 > On Sat, Oct 18, 2003 at 07:21:08PM +0000, Dan Stowell wrote: > > I asked a few questions about the flac format a couple of weeks ago. > > One more (if you don't mind) about the Rice coding. The Rice > > parameter "k" can't be zero (unless I'm mistaken), yet the FLAC spec > > says the Rice parameter can range

Dear all, Apologies for this beginner's question. I have a variable Price, which is associated with factors Season and Crop, each of which have several levels. The Price variable contains missing values (NA), which I want to substitute by the mean of the remaining (non-NA) Price values of the same Season-Crop combination of levels. Price Crop Season 10 Rice Summer 12

Hi R Users, When I use package lme4 for mixed model analysis, I can't distinguish the significant and insignificant variables from all random independent variables. Here is my data and result: Data: Rice<-data.frame(Yield=c(8,7,4,9,7,6,9,8,8,8,7,5,9,9,5,7,7,8,8,8,4,8,6,4,8,8,9), Variety=rep(rep(c("A1","A2","A3"),each=3),3),

Op 01-10-15 om 18:14 schreef lvqcl: > Currently libFLAC stores residual signal as 32-bit signed int. And there > are the following comments in stream_encoder.c: The residual is stored as a Golomb/Rice code. As far as I know, that is not limited to 32-bit in the format itself, only in the implementation. However, there are two residual coding methods now: rice and rice2. rice2 was added

I've been looking over Benjamin Schwartz's Skeleton A-mod proposal. I've been pretty busy with other projects over the past few months, so haven't had a chance to look at Ogg indexing until now... In general, I think Benjamin's ideas are sound, they're improvements, and I'm open to being convinced to take them in the next index version. We may as well get the index

Hi, I asked a few questions about the flac format a couple of weeks ago. One more (if you don't mind) about the Rice coding. The Rice parameter "k" can't be zero (unless I'm mistaken), yet the FLAC spec says the Rice parameter can range from 0 to 15. I guessed, and tried adding one before using the parameter (i.e. assuming the range was really 1 to 16), and that didn't

Dear R-users, I have a dataset as like below, and I want to subtotal the values of rice,wheat and maize by year for each fid. fid      year     rice     wheat      maize ------------------------------------------------ 1        1995      5        NA           NA 1        1995      NA        3           NA 1        1995      NA       NA           2 1        1996      4        NA           NA 1  

I have a doubt reg. RESIDUAL_CODING_METHOD_PARTITIONED_RICE2 http://flac.sourceforge.net/format.html#partitioned_rice2 tells that 5 bits are used to specify the Rice parameter. And "Escape code, meaning the partition is in unencoded binary form using n bits per sample; n follows as a 5-bit number" Question: What is the use of the "escape code" if we have to specify the Rice

Hi R Users, When I use package nlme for linear model with random effects, there exists errors and I don't know the data structure of lme. Here is my data: Rice<-data.frame(Yield=c(8,7,4,9,7,6,9,8,8,8,7,5,9,9,5,7,7,8,8,8,4,8,6,4,8,8,9), Variety=rep(rep(c("A1","A2","A3"),each=3),3),

Hi, I'm trying to write a FLAC decoder for my Java audio app. Can I ask a couple of questions to this list about the format? I think there are a couple of things not-quite-mentioned in the official spec. RICE CODING: Which order are Rice-coded numbers stored in? (a) [sign-bit][low-order bits]["k" zeroes][1] (b) [sign-bit]["k" zeroes][1][low-order bits] (c)

I have this assignment to do and after ten hours of constant trying my eyes ache and i give up.. all i'm able to get is this plot please help me these are the commands i have used till now read.table(file.choose(), sep=";", header=T) read.table(file.choose(), sep=";", header=T)->areas melt(areas,id=c("Year","State"),m=c("Rice"))->

No, FFMPEG uses its own FLAC encoder/decoder, based on Flake source code, that based on FLAC reference encoder/decoder source code. Yes, I agree that "optimal"? values for reference encoder/decoder may differ "optimal"? values for FFMPEG's encoder/decoder. But we're talking about the "highest reasonable" values, not "optimal". >>>>>

Hi all, I am interested in building a stand alone Rice Encoder/Decoder, using FLAC source code as a starting point. I've read the theory behind it, and I am very interested in info theory. However, I am struggling with how exactly I would implement the theory in code. I'm a newbie to computer science (only 1 year experience). I have read the format and documentation links on the FLAC

Dear R Staff My working file is in the annex. "g1.csv" I have only 2 columns. Rice and coke. I try to execute following(below) function, but do not work. Because "Coke" value has NA values. I try to add "na.rm=True" to the function but do not work How can I solve this problem with this function or another algorithm? (Note: I have normally 450 columns) Sincerely

Check this out: http://rice.rubyforge.org/ Regards, Dan